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Merge pull request #8448 from jexner:foreach-segfault-fix

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This commit is contained in:
Alexander Alekhin 2017-03-24 18:25:30 +00:00
commit 49e16a3c9f
2 changed files with 64 additions and 1 deletions
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2
modules/core/include/opencv2/core/utility.hpp
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@ -507,7 +507,7 @@ void Mat::forEach_impl(const Functor& operation) {
this->rowCall2(row, COLS);
}
} else {
std::vector<int> idx(COLS); /// idx is modified in this->rowCall
std::vector<int> idx(DIMS); /// idx is modified in this->rowCall
idx[DIMS - 2] = range.start - 1;
for (int line_num = range.start; line_num < range.end; ++line_num) {

63
modules/core/test/test_mat.cpp
View File

@ -659,6 +659,18 @@ struct InitializerFunctor{
}
};
template<typename Pixel>
struct InitializerFunctor5D{
/// Initializer for cv::Mat::forEach test (5 dimensional case)
void operator()(Pixel & pixel, const int * idx) const {
pixel[0] = idx[0];
pixel[1] = idx[1];
pixel[2] = idx[2];
pixel[3] = idx[3];
pixel[4] = idx[4];
}
};
void Core_ArrayOpTest::run( int /* start_from */)
{
int errcount = 0;
@ -736,6 +748,57 @@ void Core_ArrayOpTest::run( int /* start_from */)
}
}
// test cv::Mat::forEach
// with a matrix that has more dimensions than columns
// See https://github.com/opencv/opencv/issues/8447
{
const int dims[5] = { 2, 2, 2, 2, 2 };
typedef cv::Vec<int, 5> Pixel;
cv::Mat a = cv::Mat::zeros(5, dims, CV_32SC(5));
InitializerFunctor5D<Pixel> initializer;
a.forEach<Pixel>(initializer);
uint64 total = 0;
bool error_reported = false;
for (int i0 = 0; i0 < dims[0]; ++i0) {
for (int i1 = 0; i1 < dims[1]; ++i1) {
for (int i2 = 0; i2 < dims[2]; ++i2) {
for (int i3 = 0; i3 < dims[3]; ++i3) {
for (int i4 = 0; i4 < dims[4]; ++i4) {
const int i[5] = { i0, i1, i2, i3, i4 };
Pixel& pixel = a.at<Pixel>(i);
if (pixel[0] != i0 || pixel[1] != i1 || pixel[2] != i2 || pixel[3] != i3 || pixel[4] != i4) {
if (!error_reported) {
ts->printf(cvtest::TS::LOG, "forEach is not correct.\n"
"First error detected at position (%d, %d, %d, %d, %d), got value (%d, %d, %d, %d, %d).\n",
i0, i1, i2, i3, i4,
pixel[0], pixel[1], pixel[2], pixel[3], pixel[4]);
error_reported = true;
}
errcount++;
}
total += pixel[0];
total += pixel[1];
total += pixel[2];
total += pixel[3];
total += pixel[4];
}
}
}
}
}
uint64 total2 = 0;
for (size_t i = 0; i < sizeof(dims) / sizeof(dims[0]); ++i) {
total2 += ((dims[i] - 1) * dims[i] / 2) * dims[0] * dims[1] * dims[2] * dims[3] * dims[4] / dims[i];
}
if (total != total2) {
ts->printf(cvtest::TS::LOG, "forEach is not correct because total is invalid.\n");
errcount++;
}
}
RNG rng;
const int MAX_DIM = 5, MAX_DIM_SZ = 10;
// sparse matrix operations